aa6187042b
KNN fit output (PCA-3 + KMeans + KNN-classifier predictions per window) is a derived artifact regenerable from features_window_v1. Like features_window itself it stays out of git; the streamer reads it from disk on the producing host.
79 lines
1.4 KiB
Text
79 lines
1.4 KiB
Text
# Disk images and snapshots
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*.iso
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*.img
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*.qcow2
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*.qcow2.*
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*.vmdk
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*.vdi
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*.raw
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vm/images/
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vm/snapshots/
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# VERSION file is install-script-stamped (provenance for episodes
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# generated from /opt/cis490 install copies). Tracking it would
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# trigger spurious dirty-tree state on lab hosts and reject every
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# episode at the §4.6 acceptance gate.
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/VERSION
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# Telemetry output
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data/episodes/
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data/campaign.json
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data/campaign_done.marker
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data/outbox/
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data/shipped/
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*.pcap
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*.pcapng
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# Training artifacts that are regenerated from raw episodes:
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# features are large and deterministic from code+episodes, so we don't
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# track them. validation_v1.parquet IS tracked — it's small and pins
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# the accepted/degraded set.
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data/processed/features_*.parquet
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data/processed/feature_schema_*.json
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data/processed/.validation_checkpoint.parquet
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data/processed/validation_smoke.parquet
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data/processed/tensor_window_*/
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data/processed/knn_*.parquet
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data/logs/
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artifacts/
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artifacts-*/
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reports/eval/
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reports/pca/
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reports/xai/
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reports/fleet-*/
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# Per-developer training venv
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.venv-training/
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# Malware samples — NEVER commit binaries
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samples/store/
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*.bin
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*.elf
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*.exe
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*.dll
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*.so.malware
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# Python
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__pycache__/
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*.py[cod]
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.venv/
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venv/
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.pytest_cache/
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.mypy_cache/
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.ruff_cache/
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*.egg-info/
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dist/
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build/
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# Editor
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.vscode/
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.idea/
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*.swp
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.DS_Store
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# Local secrets (never commit)
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.env
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.env.local
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secrets.toml
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*.pat
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*.token
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